Case Studies

Real clients. Real results. Real transformation.

Three examples of what we build — custom AI systems, smart workspaces, and automations that give back your most valuable resource: time.

👥 Clients
📋 Projects
🧾 Invoices
Case Study 01 📋 Notion Workspace

From Chaos to Command: Freelancer Workspace System

Client: Freelance Copywriter — overwhelmed with 6+ active clients, sticky notes, and scattered spreadsheets

❌ Before

  • Client info scattered across emails, sticky notes, and Google Sheets
  • No way to see outstanding invoices at a glance
  • Deadlines tracked in a basic calendar with no project context
  • Manually calculating totals for each invoice every time
  • No system to track overdue payments or follow up

✓ After

  • 3 linked databases: Clients → Projects → Invoices, all connected
  • Outstanding balance auto-calculated per client in real time
  • Pipeline board shows every project status at a glance
  • Overdue projects flagged automatically with formula alerts
  • Revenue dashboard showing MRR, paid, and outstanding totals
3
Linked databases, fully connected
5+
Custom views & dashboards
0
Manual invoice calculations

The Challenge

A copywriter managing 6+ simultaneous clients had no single source of truth. Invoices were done in Google Docs, deadlines in a basic calendar, client notes in email. Things were falling through the cracks — including overdue payments.

Our Solution

We built a three-database Notion workspace where Clients → Projects → Invoices are all linked. Automated formulas surface overdue alerts, calculate outstanding balances, and flag projects past deadline — no manual tracking needed.

Key Deliverable

A complete workspace with 5 custom views (Pipeline Board, Deadline Calendar, Revenue Dashboard, Leads Tracker, Overdue Filter) plus a master dashboard page pulling data from all three databases into one command center.

Built with Notion Relational Databases Notion Formulas Rollup Properties Board & Calendar Views
A buyer asked if the neighborhood is safe — I have a family with young kids. How should I respond?
🏠 HomeVoice AI
That's a great question to handle carefully. Here's a draft response that's warm, factually prudent, and avoids Fair Housing issues: "Hi [Name], I'm glad you asked — neighborhood feel is everything when you have kids. I'd recommend checking NeighborhoodScout.com and the local police crime map for current data. I'm also happy to connect you with current residents..."
Perfect. Now write a listing description for a 3/2 ranch in Riverside Heights, $489k.
Case Study 02 🤖 Custom GPT

HomeVoice: The AI Real Estate Assistant That's Always On

Client: Residential Real Estate Agent — spending hours writing listing descriptions and responding to repetitive client inquiries

❌ Before

  • Writing listing descriptions from scratch for every property
  • Sensitive client questions (crime, schools) handled inconsistently
  • Follow-up emails rewritten every time from memory
  • No consistent brand voice across client communications
  • Nights and weekends spent responding to inquiries

✓ After

  • Property descriptions in 30 seconds — MLS-ready, no clichés
  • Legally careful, Fair Housing-compliant responses to every inquiry type
  • 5 pre-built email templates for every client journey stage
  • Consistent expert voice across all communications
  • Available 24/7 — responds in seconds, not hours
80%
Of repetitive tasks handled automatically
30s
To generate a full listing description
24/7
Available for client Q&A, any time zone

The Challenge

A busy real estate agent was spending 2–3 hours daily on writing tasks: property descriptions, follow-up emails, and navigating sensitive client questions about neighborhoods and market conditions — all while managing active listings.

Our Solution

We built HomeVoice — a purpose-trained Custom GPT loaded with the agent's knowledge base, brand voice, local market data, and objection scripts. It handles listing copy, client Q&A, and follow-up emails with consistent professionalism.

Key Deliverable

A fully configured Custom GPT with 5 conversation modes, Fair Housing-compliant response templates, market summary generation, and a 6-file knowledge base covering listings, neighborhoods, and common objections — ready to deploy in minutes.

Built with Custom GPT (GPT-4o) Knowledge Base Design Prompt Engineering System Instructions OpenAI Platform
🛍️ New Etsy Message
🤖 AI Classifies Intent
📨 Auto-Reply or Escalate
📸 Photo → Drive Folder
✍️ AI Writes Caption
✅ Scheduled to Instagram
📊 Stock Drops Low
🔔 Instant SMS + Email
✅ Logged to Sheet
Case Study 03 ⚡ Workflow Automation

15 Hours Back Per Week: Etsy Shop Automation Suite

Client: Etsy Candle Shop Owner — drowning in manual customer messages, inconsistent Instagram posts, and reactive inventory management

❌ Before

  • 15+ customer messages/week answered manually, one by one
  • Instagram captions written from scratch — often skipped entirely
  • Inventory checked manually by scanning Etsy listings
  • Overselling happened when stock ran out unexpectedly
  • Response time: hours to days, hurting Etsy search ranking

✓ After

  • 60% of messages handled automatically within minutes
  • Drop photo in folder → Instagram caption + schedule done automatically
  • Instant SMS + email when any SKU hits reorder threshold
  • Zero oversells — proactive alerts before stock runs out
  • Response time: under 5 minutes, 24/7, improving search ranking
15h+
Saved every single week
Faster customer response time
3
Full automations running 24/7

The Challenge

A solo Etsy seller making handmade candles was spending 8–12 hours/week on three purely repetitive tasks: answering customer messages, writing Instagram captions, and manually tracking inventory — leaving almost no time for actual making.

Our Solution

Three Make.com automations, all running in parallel: an AI-powered customer responder that classifies and replies to messages, an Instagram scheduler that generates captions from photos, and an inventory alert system that fires before stock runs out.

Key Deliverable

A complete automation suite with 18+ configured modules, an AI classification engine, a Google Sheets logging system, Buffer integration for Instagram, and Twilio SMS alerts — all running for under $32/month in tool costs.

Built with Make.com OpenAI API Zapier Buffer Google Sheets Twilio SMS Etsy API

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